UAE Artificial Intelligence (AI) Optimised Data Center Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

UAE Artificial Intelligence (AI) Optimised Data Center Market Report is Segmented by Data Center Type (CSP Data Centers, Colocation Data Centers, Others (Enterprise and Edge)), by Component (Hardware, Software Technology, Services - (Managed Services, Professional Services, Etc. ). The Report Offers the Market Size and Forecasts for all the Above Segments in Terms of Value (USD).

UAE Artificial Intelligence (AI) Optimised Data Center Market Size

Compare market size and growth of UAE Artificial Intelligence (AI) Optimised Data Center Market with other markets in Technology, Media and Telecom Industry

UAE Artificial Intelligence (AI) Optimised Data Center Market Analysis

The UAE Artificial Intelligence Data Center Market size is estimated at USD 331.60 million in 2025, and is expected to reach USD 700.32 million by 2030, at a CAGR of 16.12% during the forecast period (2025-2030).

The United Arab Emirates (UAE) is advancing its AI infrastructure by developing large-scale data centers. Collaborating with international entities, the UAE aims to position itself as a regional hub for AI operations. A significant initiative is the UAE-US AI Campus in Abu Dhabi, led by Emirati AI company G42.

The UAE-US AI Campus is projected to reach 5GW, with the first phase spanning 1GW. The site will utilize nuclear, solar, and gas power to support its operations. Microsoft has partnered with G42, investing USD 1.5 billion and collaborating on global data center projects.

G42 has also invested USD 900 million in Cerebras Systems mega chips for deployment across nine US supercomputers. The company has faced scrutiny over alleged ties to China, which it has denied. In 2024, G42 severed connections with Huawei and divested from Chinese firms like ByteDance.

The UAE is set to become a hub for cutting-edge AI research and sustainable development. The partnership with the US promotes investment in advanced semiconductors and data centers. These efforts aim to deliver transformative benefits and strengthen the UAE's position in the global AI market.

UAE Artificial Intelligence (AI) Optimised Data Center Industry Overview

In May 2025, Intel and e& of the UAE have crafted a blueprint for the service provider's inaugural sustainable modular data center, harnessing renewable fuels, liquid cooling, CPU efficiency, and advanced power management.

In October 2024, Schneider Electric announced a strategic partnership with a leading UAE-based technology firm to integrate advanced AI-driven analytics into its modular data center solutions. This collaboration aims to enhance operational efficiency and sustainability while addressing the region's growing demand for cutting-edge digital infrastructure.

UAE Artificial Intelligence (AI) Optimised Data Center Market Leaders

  1. Intel Corporation

  2. Advanced Micor Devices, Inc

  3. Schneider Electric​

  4. ABB Ltd.

  5. Alfa Laval Corporate AB

  6. *Disclaimer: Major Players sorted in no particular order
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UAE Artificial Intelligence (AI) Optimised Data Center Market News

  • May 2025: OpenAI has announced plans to collaborate on the development of a massive new data center in the United Arab Emirates, which could potentially become one of the largest globally. According to Bloomberg News, the data center will feature a 5-gigawatt capacity and will be located in Abu Dhabi. OpenAI, the creator of ChatGPT, is expected to serve as one of the primary anchor tenants for the facility. While the Microsoft-backed company's participation is not yet finalized, a formal announcement is anticipated in the near future.
  • February 2025: Renewable energy solutions to enhance energy efficiency. The announcement pertaining to this collaboration in the field of AI and digital infrastructure was made shortly after a meeting between French President Emmanuel Macron and UAE President Sheikh Mohamed bin Zayed al-Nahyan last week.

UAE Artificial Intelligence (AI) Optimised Data Center Market Report - Table of Contents

1. INTRODUCTION

  • 1.1 Study Assumptions And Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET OVERVIEW

  • 4.1 Emergence of AI in Data Center
  • 4.2 Challenges Faced By traditional Data Centers (Supply and Demand Dynamics)
  • 4.3 Where can AI provide immediate results?

5. PESTLE Analysis

6. MARKET DYNAMICS

  • 6.1 Market Drivers
    • 6.1.1 National Artificial Intelligence Strategy 2031 allocating sovereign GPU budgets
    • 6.1.2 100 % renewable-energy target for new Dubai & Abu Dhabi campuses encourages liquid-cooled servers
    • 6.1.3 400 G/800 G Gulf Connect fibre routes increasing demand for high-bandwidth NICs & switches
    • 6.1.4 Free-zone tax incentives on locally-integrated liquid-cooling skids lowering TCO
    • 6.1.5 Smart-city (Dubai 10X) and autonomous-mobility pilots accelerating edge-AI micro-DC refresh
  • 6.2 Market Challenges
    • 6.2.1 48 C summer peaks inflate capex for immersion/DTC cooling
    • 6.2.2 Scarce grey-water limits evaporative systems; NEA restrictions tighten WUE thresholds
    • 6.2.3 GPU export-control compliance elongates H100/MI300 lead-times

7. IMPACT ON SUSTAINABILITY & CARBON-NEUTRAL ENERGY GOALS

  • 7.1 Sustainable Power Source & Management
    • 7.1.1 Renewable vs Non-Renewable Power (Green DCs & AI Innovations)
    • 7.1.2 Carbon-Footprint Reduction (Heat Pumps, District Cooling/Heating, etc.)
  • 7.2 Sustainable Cooling Solutions & Management
    • 7.2.1 Efficient Cooling Solutions for AI-Optimised DCs
    • 7.2.2 PUE Ratio, WUE Ratio - Analysis

8. MARKET SEGMENTATION

  • 8.1 By Data Center Type
    • 8.1.1 CSP Data Centers
    • 8.1.2 Colocation Data Centers
    • 8.1.3 Others (Enterprise and Edge)
  • 8.2 By Component
    • 8.2.1 Hardware
    • 8.2.1.1 Power
    • 8.2.1.2 Cooling
    • 8.2.1.3 IT Equipments
    • 8.2.1.4 Others
    • 8.2.2 Software Technology
    • 8.2.2.1 Machine Learning
    • 8.2.2.2 Deep Learning
    • 8.2.2.3 Natural Language Processing
    • 8.2.2.4 Computer Vision
    • 8.2.3 Services - (Managed Services, Proffesional Services, etc)

9. COMPETITIVE LANDSCAPE

  • 9.1 Market Share Analysis
  • 9.2 Company Profiles {(includes Global Overview, MEA-level Overview, Core Segments, Financials, Strategic Information, Market Rank/Share, Products & Services, Recent Developments)}
    • 9.2.1 NVIDIA Corporation
    • 9.2.2 Intel Corporation
    • 9.2.3 Advanced Micro Devices, Inc.
    • 9.2.4 ARM Limited
    • 9.2.5 Cisco Systems, Inc.
    • 9.2.6 Sunbird Software, Inc.
    • 9.2.7 Nlyte Software Ltd.
    • 9.2.8 Schneider Electric SE
    • 9.2.9 Vertiv Group Corp.
    • 9.2.10 ABB Ltd.
    • 9.2.11 Alfa Laval AB
    • 9.2.12 Green Revolution Cooling, Inc.

10. FUTURE OUTLOOK AND EMERGING TRENDS

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UAE Artificial Intelligence (AI) Optimised Data Center Industry Segmentation

The research encompasses the full spectrum of AI applications in data centers, covering hyperscale, colocation, enterprise, and edge facilities. The analysis is segmented by component, distinguishing between hardware and software. Hardware considerations include power, cooling, networking, IT equipment, and more. Software technologies under scrutiny encompass machine learning, deep learning, natural language processing, and computer vision. The study also evaluates the geographical distribution of these applications.

Additionally, it assesses AI's influence on sustainability and carbon neutrality objectives. A comprehensive competitive landscape is presented, detailing market players engaged in AI-supportive infrastructure, encompassing both hardware and software utilized across various AI data center types. Market size is calculated in terms of revenue generated by products and solutions providers in the market, and forecasts are presented in USD Billion for each segment.

By Data Center Type CSP Data Centers
Colocation Data Centers
Others (Enterprise and Edge)
By Component Hardware Power
Cooling
IT Equipments
Others
Software Technology Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
Services - (Managed Services, Proffesional Services, etc)
By Data Center Type
CSP Data Centers
Colocation Data Centers
Others (Enterprise and Edge)
By Component
Hardware Power
Cooling
IT Equipments
Others
Software Technology Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
Services - (Managed Services, Proffesional Services, etc)
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UAE Artificial Intelligence (AI) Optimised Data Center Market Research FAQs

How big is the UAE Artificial Intelligence Optimised Data Center Market?

The UAE Artificial Intelligence Optimised Data Center Market size is expected to reach USD 331.60 million in 2025 and grow at a CAGR of 16.12% to reach USD 700.32 million by 2030.

What is the current UAE Artificial Intelligence Optimised Data Center Market size?

In 2025, the UAE Artificial Intelligence Optimised Data Center Market size is expected to reach USD 331.60 million.

Who are the key players in UAE Artificial Intelligence Optimised Data Center Market?

Intel Corporation, Advanced Micor Devices, Inc, Schneider Electric​, ABB Ltd. and Alfa Laval Corporate AB are the major companies operating in the UAE Artificial Intelligence Optimised Data Center Market.

What years does this UAE Artificial Intelligence Optimised Data Center Market cover, and what was the market size in 2024?

In 2024, the UAE Artificial Intelligence Optimised Data Center Market size was estimated at USD 278.15 million. The report covers the UAE Artificial Intelligence Optimised Data Center Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the UAE Artificial Intelligence Optimised Data Center Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.

UAE Artificial Intelligence (AI) Optimised Data Center Industry Report

Statistics for the 2025 UAE Artificial Intelligence (AI) Optimised Data Center market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. UAE Artificial Intelligence (AI) Optimised Data Center analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.

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